Big Data Methods: Hadoop, Spark, and more

Expert instructors from the San Diego Supercoming Center (SDSC) will visit to teach a 1-day tutorial on the latest big data technologies. These include general tools such as Hadoop and Spark, as well as the resources such as Comet which are available at SDSC.

Description:

Expert instructors from the San Diego Supercoming Center (SDSC) will visit to teach a 1-day tutorial on the latest big data technologies. These include general tools such as Hadoop and Spark, as well as the resources such as Comet which are available at SDSC.

To find out about future one-day courses, please join our mailing list.

Topics will include:
– Hadoop & MapReduce
– Spark
– MongoDB and other databases
– Graph databases such as Neo4j

Instructors (all from SDSC): Mahidha Tatineni has a Ph.D in Aerospace Engineering and leads the User Services group, Amarnath Gupta has a Ph.D in Computer Science and leads the Advanced Query Processing Lab, and Andrea Zonca has a Ph.D in Astrophysics and is a computational scientist at SDSC.

Prerequisites: Familiarity with Linux & python.

9-10:30 Intro to SDSC, Comet, Big Data and other resources at SDSC
10:30-10:45 break
10:45-12:15 Introduction to general Big Data techniques
12:15-1 Lunch
1-2:30 Introductory Spark for Scientific Computing with Python
2:30-2:45 break
2:45-4:30 Advanced Spark for Scientific Computing
4:30-5 Wrap-up, Q&A

Date:December 3, 2015
Time: Tentatively scheduled from 9 a.m. to 5 p.m. with lunch provided
Location: Donald Bren Hall, Room 3011
Instructors:Mahidha Tatineni, Amarnath Gupta, Andrea Zonca, San Diego Supercomputer Center (SDSC)
Pre-requisites: for the course, the Introduction to Linux class or equivalent experience with Linux on a cluster. For the tutorial, same as the Introduction to Linux class